In this paper, we analyze the performance of some global search algorithms on a number of space trajectory design problems. A rigorous testing procedure is introduced to measure the ability of an algorithm to identify the set of ²-optimal solutions. From the analysis of the test results, a novel algorithm is derived. The development of the novel algorithm starts from the redefinition of some evolutionary heuristics in the form of a discrete dynamical system. The convergence properties of this discrete dynamical system are used to derive a hybrid evolutionary algorithm that displays very good performance on the particular class of problems presented in this paper.
- space trajectory design
- novel algorithms
- discrete dynamical system
- global optimization
Vasile, M., Minisci, E., & Locatelli, M. (2010). Analysis of some global optimization algorithms for space trajectory design. Journal of Spacecraft and Rockets, 47(2), 334-344. https://doi.org/10.2514/1.45742